Jobfoundry
Jobfoundry
EY

Denodo Data Engineer, Senior Associate, AI Data, Technology Consulting

EY
BusinessSG, 048583Full-time2 weeks ago
Apply Now

About the role

AI summarised

Senior Associate Data Engineer role in EY's AI & Data consulting practice, focusing on Denodo data virtualization to design and maintain virtual data layers for unified enterprise data access. The role involves performance optimization, data modeling, integration with analytics, and collaboration with stakeholders.

BusinessFull-timeGeneral

Key Responsibilities

  • Design, develop, and maintain Denodo virtual views (base, derived, and interface views)
  • Build and manage logical and semantic data models using Denodo
  • Integrate data from multiple sources including RDBMS, cloud data stores, APIs, and flat files
  • Optimize query performance using caching, indexing, and federation strategies
  • Implement data security, masking, and role-based access controls
  • Collaborate with business stakeholders, BI teams, and data consumers to gather and translate requirements
  • Support, monitor, and troubleshoot production issues related to Denodo services
  • Implement data governance, metadata management, and lineage
  • Develop reusable virtual views and establish standards and best practices
  • Document data models, transformation logic, and integration patterns

Requirements

  • Minimally 4 years of hands-on experience with Denodo in data virtualization or related roles
  • Strong hands-on experience with the Denodo Platform
  • Proven experience in logical and semantic data modeling
  • Strong SQL skills, including complex joins and performance tuning
  • Solid understanding of data virtualization concept
  • Experience integrating with REST / SOAP APIs
  • Hands-on experience with relational databases (Oracle, SQL Server, PostgreSQL, etc.)
  • Knowledge of data governance, data security, and lineage
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Exposure to ETL tools such as Talend, Informatica, or Azure Data Factory
  • Knowledge of data warehousing and lakehouse architectures
  • Experience integrating Denodo with BI tools (Power BI, Tableau)
  • Scripting experience in Python or Shell
  • Experience working in regulated or large enterprise environments